arXiv (All)
open access
Site Is Decodable Before Pretraining: Negative Controls for Probing Frozen Brain-MRI Foundation Models
Brain foundation models are often tested with a probe. The model is frozen, a simple classifier is trained on its output, and the classifier's accuracy is taken as a sign of what pretraining learned. We show that this reading can be wrong unless two controls are reported with it. We probed three fro
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Prediction of Delayed Cognitive Impairment in Cardiac Arrest Survivors With Good Neurological Outcomes#1246803
- Memory-Based Prediction Deficits and Dorsolateral Prefrontal Dysfunction in Schizophrenia#1283503
- Training Fair Tabular Foundation Models#458298
- Reading-FREE Markers for Early Detection of Developmental Dyslexia#1170836
- Adaptive Temporal Gating of Longitudinal Magnetic Resonance Imaging for Dementia Prediction#1011112
Record · ID 1199940
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive